Graph Neural Network-based Deep Reinforcement Learning algorithm for Virtual Network Function forwarding graph embedding in Space–Air–Ground Integrated Network

Space–Air–Ground Integrated Network (SAGIN) can provide seamless three-dimensional coverage and enhanced flexibility, and it has been recognized as the core architecture of future 6G networks. Software Defined Network (SDN) and Network Function Virtualization (NFV) are two enabling technologies of S...

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Veröffentlicht in:	Engineering applications of artificial intelligence Jg. 156; S. 111083
Hauptverfasser:	Liu, Liang, Jing, Tengxiang, Tan, Siyuan, Zhang, Yujie, He, Yejun, Xu, Chuan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier Ltd 15.09.2025
Schlagworte:	Deep Reinforcement Learning Graph Neural Network Network Function Virtualization Space–Air–Ground Integrated Network Virtual Network Function Forwarding Graph embedding Virtual Network Function Forwarding Graph embedding Deep Reinforcement Learning Space–Air–Ground Integrated Network Network Function Virtualization Graph Neural Network
ISSN:	0952-1976
Online-Zugang:	Volltext
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